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AutoHypothesis — Startup Profile
Startup

AutoHypothesis

Agents self-improve their stock portfolio strategy.

Finance & Payments
GitHub stars: arteemg/autohypothesis020406080Apr 2026Jun 2026Aug 2026Oct 2026
GitHub stars: arteemg/autohypothesis, last 12 months020406080Oct 2025Feb 2026Jun 2026Oct 2026
GitHub stars: arteemg/autohypothesis, last 90 days02040608015 Jul14 Aug12 Sep12 Oct

74 GitHub stars

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About the startup

I built a framework where ai agents search for market inefficiencies and optimize risk-adjusted returns through an agentic loop: (1) propose a hypothesis with economic justification, (2) iterate on historical data (2010–2016), (3) validate on out-of-sample periods (2017–2021). No hyperparameter tuning is allowed once a strategy enters validation, forcing the system to behave like a researcher. Holdout results (2022–2025): Sharpe 0.86 vs. 0.67 benchmark, 28.1% turnover, 11.4% max drawdown.

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